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Statistical analysis of short-term water stress conditions at Riggs Creek OzFlux tower site

机译：Riggs Creek OzFlux塔场短期水分胁迫条件的统计分析

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摘要

A large range of indices and proxies are available to describe the water stress conditions of an area subject to different applications, which have varying capabilities and limitations depending on the prevailing local climatic conditions and land cover. The present study uses a range of spatio-temporally high-resolution (daily and within daily) data sources to evaluate a number of drought indices (DIs) for the Riggs Creek OzFlux tower site in southeastern Australia. Therefore, the main aim of this study is to evaluate the statistical characteristics of individual DIs subject to short-term water stress conditions. In order to derive a more general and therefore representative DI, a new criterion is required to specify the statistical similarity between each pair of indices to allow determining the dominant drought types along with their representative DIs. The results show that the monitoring of water stress at this case study area can be achieved by evaluating the individual behaviour of three clusters of (i) vegetation conditions, (ii) water availability and (iii) water consumptions. This indicates that it is not necessary to assess all individual DIs one by one to derive a comprehensive and informative data set about the water stress of an area; instead, this can be achieved by analysing one of the DIs from each cluster or deriving a new combinatory index for each cluster, based on established combination methods.
机译：可以使用多种指标和代理来描述受不同应用影响的区域的水分胁迫条件，这些条件和能力取决于主要的当地气候条件和土地覆盖而具有不同的功能和局限性。本研究使用一系列时空高分辨率（每天和每天一次）数据源来评估澳大利亚东南部Riggs Creek OzFlux塔场的许多干旱指数（DI）。因此，本研究的主要目的是评估受短期水分胁迫条件影响的单个DI的统计特征。为了得出更一般的，因此具有代表性的DI，需要一个新的标准来指定每对指标之间的统计相似性，以允许确定主要干旱类型及其代表性DI。结果表明，可以通过评估以下三个群集的个体行为来实现对这个案例研究区域的水分胁迫的监测：（i）植被状况，（ii）可用水量和（iii）用水量。这表明没有必要对所有单个DI进行逐一评估，以得出有关某个地区的水分胁迫的全面而信息丰富的数据集；相反，这可以通过基于已建立的组合方法，分析每个群集中的一个DI或为每个群集导出新的组合索引来实现。

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